- Allison, E., “Educational Production Function for an Introductory Economics Course,” in Fels and Siegfried (1982), 171–94.
- Bakan, D., “The Test of Significance in Psychological Research,” Psychological Bulletin, 1966, 66, 423–37.
- Becker, W., “Economic Education Research: Part I, Issues and Questions,” Journal of Economic Education, 1983a, 14, 10–7.
- Becker, W., “Economic Education Research: Part II, New Directions in Theoretical Model Building,” Journal of Economic Education, 1983b, 14, 4–10.
- Becker, W., “Economic Education Research: Part III, Statistical Estimation Methods,” Journal of Economic Education, 1983c, 14, 4–15.
- Becker, W., and Walstad, W. B., Econometric Modeling in Economic Education Research, Hingham, MA: Kluwer-Nijhoff, 1986.
- Blyth, C. R., “Subjective vs. Objective Methods in Statistics,” American Statistician, 1972, 26, 20–22.
- Busche, K., and Kennedy, P., “On Economists' Belief in the Law of Small Numbers,” Economic Inquiry, 1984, 22, 602–03.
- Chen, J., and Novick, M., “On the Use of a Cumulative Distribution as a Utility Function in Education or Employment Selection,” Journal of Educational Statistics, 1982, 7, 19–35.
- Durbin, J., “A Note on Regression When There is Extraneous Information about One of the Coefficients,” Journal of the American Statistical Association. 1953, 48, 799–808.
- Fels, R., and Siegfried, J., Research on Teaching College Economics: Selected Readings, New York: Joint Council on Economic Education, 1982.
- Fienberg, S. E., and Zellner, A. (eds.), Studies in Bayesian Econometrics and Statistics in Honor of Leonard J. Savage, Amsterdam: North Holland, 1975.
- Fischhoff, B., and Beyth-Marom, R., “Hypothesis Evaluation from a Bayesian Perspective,” Psychological Review, 1983, 90, 239–60.
- Gaver, K., and Geisel, M., “Discriminating Among Alternative Models: Bayesian and Non-Bayesian Methods,” chap. 2 in P. Zarembka, Frontiers in Econometrics, New York: Academic Press, 1973.
- Geisel, M., “Bayesian Comparisons of Simple Macroeconomic Models,” in Fienberg and Zellner (1975), 226–56.
- Hey, J., Data in Doubt, Oxford: Martin Robertson, 1983.
- Hogarth, R. M., “Cognitive Processes and the Assessment of Subjective Probability-Distributions,” Journal of the American Statistical Association, 1975, 70, 271–94.
- Jackson, P., Novick, M., and Thayer, D., “Estimating Regressions in m Groups,” British Journal of Mathematical and Statistical Psychology. 1971, 24, 129–53.
- Jones, J., Introduction to Decision Theory, Homewood, IL: Irwin, 1977.
- Judge, G., Griffiths, W., Hill, R., and Lee, T., The Theory and Practice of Econometrics, New York: Wiley, 1980.
- Kadane, J., “Predictive and Structural Methods for Eliciting Prior Distributions,” chap. 8 in Zellner (1980).
- Kadane, J., and Dickey, J., “Bayesian Decision Theory and the Simplification of Models,” in J. Kmenta and J. Ramsey (eds.), Evaluation of Econometric Models, New York: Academic Press, 1980, 245–68.
- Kadane, J., Dickey, J., Winkler, R., Smith, W., and Peters, S., “Interactive Elicitation of Opinion for a Normal Linear Model,” Journal of the American Statistical Association, 1980, 75, 845–54.
- Leamer, E., “A Bayesian Analysis of the Determinants of Inflation,” Discussion Paper, Department of Economics, UCLA, 1984.
- Leamer, E., “Let's Take the Con Out of Econometrics,” American Economic Review, 1983a, 73, 31–43.
- Leamer, E., “Model Choice and Specification Analysis,” chap. 5 in Z. Griliches and M. Intriligator (eds.), Handbook of Econometrics, vol. 1, Amsterdam: North Holland, 1983b.
- Leamer, E., “The Determinants of Reading Scores: An Analysis Built on Explicit Prior Information,” Discussion Paper 218, Department of Economics, UCLA, 1981.
- Leamer, E., Specification Searches: Ad Hoc Inference with Nonexperimental Data, New York: Wiley, 1978.
- Leamer, E., and Leonard, H., “Reporting the Fragility of Regression Estimates,” Review of Economics and Statistics, 1983, 65, 306–17.
- Libby, D., and Novick, M., “Multivariate Generalized Beta Distributions with Applications to Utility Assessment,” Journal of Educational Statistics, 1982, 7, 271–94.
- Lindley, D., Tversky, A., and Brown, R., “On the Reconciliation of Probability Assessments,” Journal of the Royal Statistical Society, 1979, A142, 146–80.
- Lissitz, R., and Schoenfeldt, L., “Moderator Subgroups for the Estimation of Educational Performance: A Comparison of Prediction Models,” American Educational Research Journal, 1974, 11, 63–75 and comments, 77–92.
- Luker, W., “DEEP Revisited,” Journal of Economic Education, 1984, 15, 111–18.
- McKenzie, R., and Staaf, R., An Economic Theory of Learning: Student Sovereignty and Academic Freedom, Blacksburg, VA: University Press, 1974.
- Novick, M., “Bayesian Methods in Educational Testing: A Third Survey,” in D. de Gruijter and L. van der Kamp (eds.), Advances in Psychological and Educational Measurement, London: Wiley, 1976, 17–32.
- Novick, M., “A Course in Bayesian Statistics,” American Statistician, 1975, 29, 94–101.
- Novick, M. R., and Jackson, P. H., Statistical Methods for Educational and Psychological Research. New York: McGraw-Hill, 1974.
- Novick, M., Jackson, P., Thayer, D., and Cole, N., “Estimating Multiple Regressions in m Groups: A Cross-Validation Study,” British Journal of Mathematical and Statistical Psychology, 1972, 25, 33–50.
- Novick, M., and Lindley, D., “The Use of More Realistic Utility Functions in Educational Applications.” Journal of Educational Measurement, 1978, 15, 181–91.
- Novick, M., “The Computer-Assisted Data Analysis (CADA) Monitor,” 1983, available from CADA Research Group, 348 Lindquist Center for Measurement, University of Iowa, Iowa City, Iowa, 52242.
- Press, J., “Bayesian Computer Programs,” chap. 27 in Zellner (1980).
- Rothen, W., and Tennyson, R., “Application of Bayes' Theory in Designing Computer-Based Adaptive Instructional Strategies,” Educational Psychologist, 1978, 12, 317–23.
- Rubin, D., “Some Applications of Bayesian Statistics to Educational Data,” Statistician, 1983, 32, 55–68.
- Shavelson, R., Cadwell, J., and Izu, T., “Teachers' Sensitivity to the Reliability of Information in Making Pedagogical Decisions,” American Educational Research Journal, 1977, 14, 83–97.
- Smith, G., and Brainard, W., “The Value of A Priori Information in Estimating a Financial Model,” Journal of Finance, 1976, 31, 1299–322.
- Soper, J., and Walstad, W., “On Measuring Economic Attitudes,” Journal of Economic Education, 1983, 14, 4–22.
- Theil, H., and Goldberger, A., “On Pure and Mixed Statistical Estimation in Economics,” International Economic Review, 1961,2, 65–78.
- Varian, H. R., “A Bayesian Approach to Real Estate Assessment,” in Fienberg and Zellner (1975), 195–208.
- Vijn, P., and Molenaar, I., “Robustness Regions for Dichotomous Decisions,” Journal of Educational Statistics, 1981, 6, 205–35.
- Wallsten, T. S., and Budescu, D. V., “Encoding Subjective Probabilities: A Psychological and Psychometric Review,” Management Science, 1983, 29, 151–73.
- Walstad, W., and Soper, J., “DEEP Revisited: A Reply,” Journal of Economic Education, 1984, 15, 119–22.
- Wetzstein, M., Broder, J., and Wilson, G., “Bayesian Inference and Student Evaluations of Teachers and Courses,” Journal of Economic Education, 1984, 15, 40–45.
- Yates, J., “Research in Economic Education: Are Our Horizons Too Narrow?” Journal of Economic Education, 1978, 10, 12–17.
- Zellner, A. (ed.), Bayesian Analysis in Econometrics and Statistics: Essays in Honor of Harold Jeffreys, Amsterdam: North Holland, 1980.
- Zellner, A. (ed.), “The Bayesian Approach and Alternatives in Econometrics,” in Fienberg and Zellner (1974), 39–54.
- Zellner, A. (ed.), An Introduction to Bayesian Inference in Econometrics, New York: Wiley, 1971.
The Journal of Economic Education
Volume 17, 1986 - Issue 1